from typing import Dict, Any
import numpy as np
from .utils.logger import setup_logger

logger = setup_logger("CacheStrategy")

class GMMCacheManager:
    def __init__(self, model, scaler, threshold: float):
        self.model = model
        self.scaler = scaler
        self.rerates: Dict[int, float] = {}
        self.threshold = threshold

    def detect_high_value_clusters(self, X: np.ndarray, y: np.ndarray):
        """识别高再访问率簇"""
        logger.info("Detecting high-value clusters")
        labels = self.model.predict(X)

        for cluster in np.unique(labels):
            mask = (labels == cluster)
            self.rerates[cluster] = y[mask].mean()

    def get_cache_priority(self, request: dict) -> int:
        """动态生成缓存优先级"""
        try:
            # 特征提取
            features = self._extract_features(request)

            # 标准化
            scaled_features = self.scaler.transform([features])

            # 预测簇
            cluster = self.model.predict(scaled_features)[0]
            rerate = self.rerates.get(cluster, 0.0)

            return 1 if rerate > self.threshold else 0

        except Exception as e:
            logger.error(f"Cache decision failed: {str(e)}")
            return 0

    def _extract_features(self, request: dict) -> list:
        """从请求中提取x1-x7特征"""
        # 具体实现根据数据格式调整
        pass